Rank	Model submitted by	average	– V1 1 benchmark	–– FreemanZiemba2013.V1-pls v2	– V2 1 benchmark	–– FreemanZiemba2013.V2-pls v2	– V4 1 benchmark	–– MajajHong2015.V4-pls v3	– IT 2 benchmarks	–– MajajHong2015.IT-pls v3	–– Kar2019-ost v2	– behavior 1 benchmark	–– Rajalingham2018-i2n v2	engineering 1 benchmark	– Deng2009-top1 v1
1	CORnet-S Brain-Score Team	.417	.294	.294	.242	.242	.581	.581	.423	.541	.305	.545	.545	.747	.747
2	vgg-19 Brain-Score Team	.408	.347	.347	.341	.341	.610	.610	.248	.496	X	.494	.494	.711	.711
3	resnet-50-robust Joel Dapello	.408	.378	.378	.365	.365	.537	.537	.243	.486	X	.515	.515
4	resnet-101_v1 Brain-Score Team	.407	.266	.266	.341	.341	.590	.590	.274	.549	X	.561	.561	.764	.764
5	vgg-16 Brain-Score Team	.406	.355	.355	.336	.336	.620	.620	.259	.518	X	.461	.461	.715	.715
6	resnet-152_v1 Brain-Score Team	.405	.282	.282	.338	.338	.598	.598	.277	.553	X	.533	.533	.768	.768
7	resnet-101_v2 Brain-Score Team	.404	.274	.274	.332	.332	.599	.599	.263	.527	X	.555	.555	.774	.774
8	resnet50-SIN_IN Brain-Score Team	.404	.282	.282	.324	.324	.599	.599	.276	.552	X	.541	.541	.746	.746
9	densenet-169 Brain-Score Team	.404	.281	.281	.322	.322	.601	.601	.274	.548	X	.543	.543	.759	.759
10	densenet-201 Brain-Score Team	.402	.277	.277	.325	.325	.599	.599	.273	.545	X	.537	.537	.772	.772
11	resnet-50-pytorch Joel Dapello	.399	.289	.289	.317	.317	.600	.600	.259	.518	X	.528	.528	.752	.752
12	resnet-50_v1 Brain-Score Team	.398	.274	.274	.317	.317	.594	.594	.278	.555	X	.526	.526	.752	.752
13	resnet50-SIN_IN_IN Brain-Score Team	.397	.275	.275	.321	.321	.596	.596	.273	.545	X	.523	.523	.767	.767
14	resnet-152_v2 Brain-Score Team	.397	.274	.274	.326	.326	.591	.591	.266	.532	X	.528	.528	.778	.778
15	resnet-50_v2 Brain-Score Team	.396	.270	.270	.323	.323	.596	.596	.260	.520	X	.531	.531	.756	.756
16	densenet-121 Brain-Score Team	.396	.277	.277	.306	.306	.595	.595	.267	.533	X	.535	.535	.745	.745
17	resnext101_32x32d_wsl Martin Schrimpf	.396	.267	.267	.289	.289	.574	.574	.254	.507	X	.594	.594	.854	.854
18	mobilenet_v1_1.0_160 Brain-Score Team	.393	.290	.290	.332	.332	.588	.588	.275	.549	X	.480	.480	.680	.680
19	resnext101_32x8d_wsl Martin Schrimpf	.392	.271	.271	.312	.312	.586	.586	.241	.481	X	.551	.551	.842	.842
20	inception_v2 Brain-Score Team	.392	.284	.284	.313	.313	.587	.587	.270	.539	X	.505	.505	.739	.739
21	BiT-M-R101x3 Violet Xiang	.391	.279	.279	.323	.323	.584	.584	.261	.521	X	.509	.509
22	dorinet_cornet_z	.390	.310	.310	.311	.311	.582	.582	.468	.468		.279	.279
23	resnet-18 Brain-Score Team	.390	.274	.274	.302	.302	.583	.583	.266	.531	X	.524	.524	.698	.698
24	mobilenet_v2_1.0_224 Brain-Score Team	.389	.245	.245	.331	.331	.573	.573	.273	.546	X	.521	.521	.718	.718
25	mobilenet_v2_0.75_224 Brain-Score Team	.388	.236	.236	.316	.316	.586	.586	.268	.535	X	.533	.533	.698	.698
26	efficientnet-b0 Joel Dapello	.387	.215	.215	.317	.317	.556	.556	.274	.547	X	.573	.573
27	fixres_resnext101_32x48d_wsl Martin Schrimpf	.387	.246	.246	.288	.288	.582	.582	.257	.513	X	.561	.561	.863	.863
27	resnext101_32x48d_wsl Martin Schrimpf	.387	.246	.246	.288	.288	.582	.582	.257	.513	X	.561	.561	.822	.822
29	mobilenet_v2_1.3_224 Brain-Score Team	.386	.253	.253	.332	.332	.575	.575	.271	.543	X	.500	.500	.744	.744
30	BiT-M-R50x1 Violet Xiang	.386	.274	.274	.312	.312	.574	.574	.272	.543	X	.499	.499
31	resnet50-SIN Brain-Score Team	.386	.300	.300	.333	.333	.580	.580	.267	.534	X	.448	.448	.602	.602
32	pnasnet_large Brain-Score Team	.385	.264	.264	.305	.305	.578	.578	.263	.526	X	.515	.515	.829	.829
33	AT_efficientnet-b7 Joel Dapello	.385	.276	.276	.308	.308	.583	.583	.281	.562	X	.475	.475
34	mobilenet_v2_0.75_192 Brain-Score Team	.384	.245	.245	.306	.306	.573	.573	.275	.550	X	.524	.524	.687	.687
35	mobilenet_v2_1.4_224 Brain-Score Team	.384	.257	.257	.321	.321	.566	.566	.277	.554	X	.500	.500	.750	.750
36	inception_v1 Brain-Score Team	.384	.259	.259	.311	.311	.589	.589	.244	.488	X	.518	.518	.698	.698
37	xception Brain-Score Team	.384	.245	.245	.306	.306	.610	.610	.249	.498	X	.508	.508	.790	.790
38	AT_efficientnet-b4 Joel Dapello	.383	.246	.246	.339	.339	.549	.549	.279	.559	X	.503	.503
39	mobilenet_v2_0.75_160 Brain-Score Team	.383	.278	.278	.316	.316	.573	.573	.273	.547	X	.473	.473	.664	.664
40	inception_v4 Brain-Score Team	.382	.238	.238	.299	.299	.574	.574	.263	.526	X	.537	.537	.802	.802
41	resnext101_32x16d_wsl Martin Schrimpf	.382	.263	.263	.302	.302	.587	.587	.250	.499	X	.509	.509	.851	.851
42	inception_resnet_v2 Brain-Score Team	.381	.233	.233	.319	.319	.583	.583	.272	.543	X	.499	.499	.804	.804
43	efficientnet-b6 Joel Dapello	.381	.263	.263	.295	.295	.563	.563	.271	.541	X	.513	.513
44	BiT-M-R152x4 Violet Xiang	.380	.290	.290	.324	.324	.555	.555	.254	.508	X	.477	.477
45	efficientnet-b2 Joel Dapello	.380	.213	.213	.317	.317	.569	.569	.273	.547	X	.526	.526
46	nasnet_large Brain-Score Team	.380	.282	.282	.291	.291	.585	.585	.270	.541	X	.470	.470	.827	.827
47	mobilenet_v1_1.0_224 Brain-Score Team	.380	.223	.223	.341	.341	.560	.560	.273	.546	X	.502	.502	.709	.709
48	BiT-S-R101x3 Violet Xiang	.380	.296	.296	.306	.306	.581	.581	.252	.505	X	.462	.462
49	efficientnet-b4 Joel Dapello	.379	.228	.228	.286	.286	.575	.575	.272	.543	X	.535	.535
50	BiT-M-R152x2 Violet Xiang	.379	.277	.277	.320	.320	.569	.569	.257	.515	X	.472	.472
51	inception_v3 Brain-Score Team	.379	.241	.241	.307	.307	.596	.596	.273	.545	X	.477	.477	.780	.780
52	BiT-M-R50x3 Violet Xiang	.378	.253	.253	.289	.289	.548	.548	.277	.554	X	.523	.523
53	mobilenet_v2_1.0_192 Brain-Score Team	.377	.216	.216	.322	.322	.572	.572	.273	.547	X	.503	.503	.707	.707
54	mobilenet_v2_1.0_160 Brain-Score Team	.376	.239	.239	.322	.322	.570	.570	.275	.550	X	.472	.472	.688	.688
55	mobilenet_v2_0.5_192 Brain-Score Team	.375	.263	.263	.329	.329	.566	.566	.264	.529	X	.454	.454	.639	.639
56	BiT-S-R50x3 Violet Xiang	.373	.283	.283	.301	.301	.569	.569	.267	.534	X	.444	.444
57	mobilenet_v2_0.5_224 Brain-Score Team	.372	.229	.229	.308	.308	.569	.569	.266	.533	X	.488	.488	.654	.654
58	mobilenet_v1_0.75_224 Brain-Score Team	.372	.223	.223	.336	.336	.558	.558	.267	.535	X	.477	.477	.684	.684
59	AT_efficientnet-b2 Joel Dapello	.372	.248	.248	.295	.295	.563	.563	.275	.550	X	.480	.480
60	resnet-34 Brain-Score Team	.372	.230	.230	.286	.286	.560	.560	.237	.474	X	.546	.546	.733	.733
61	AT_efficientnet-b0 Joel Dapello	.371	.238	.238	.334	.334	.570	.570	.267	.534	X	.447	.447
62	BiT-S-R152x2 Violet Xiang	.371	.289	.289	.309	.309	.574	.574	.235	.469	X	.446	.446
63	BiT-S-R101x1 Violet Xiang	.370	.273	.273	.308	.308	.572	.572	.250	.499	X	.449	.449
64	mobilenet_v1_0.5_224 Brain-Score Team	.370	.221	.221	.340	.340	.555	.555	.260	.521	X	.474	.474	.633	.633
65	mobilenet_v1_1.0_192 Brain-Score Team	.370	.235	.235	.329	.329	.548	.548	.271	.543	X	.466	.466	.700	.700
66	mobilenet_v2_0.75_128 Brain-Score Team	.369	.237	.237	.320	.320	.553	.553	.271	.541	X	.464	.464	.632	.632
67	cornetz_contrastive	.369	.325	.325	.353	.353	.551	.551	.268	.535	X	.346	.346
68	alexnet	.368	.316	.316	.353	.353	.550	.550	.254	.508	X	.370	.370	.577	.577
69	mobilenet_v1_1.0_128 Brain-Score Team	.368	.254	.254	.325	.325	.557	.557	.267	.535	X	.437	.437	.652	.652
70	mobilenet_v1_0.75_128 Brain-Score Team	.368	.267	.267	.330	.330	.564	.564	.252	.505	X	.425	.425	.621	.621
71	mobilenet_v2_0.5_160 Brain-Score Team	.368	.258	.258	.305	.305	.562	.562	.264	.528	X	.448	.448	.610	.610
72	mobilenet_v2_1.0_128 Brain-Score Team	.368	.252	.252	.303	.303	.569	.569	.267	.534	X	.447	.447	.653	.653
73	mobilenet_v1_0.5_192 Brain-Score Team	.367	.220	.220	.337	.337	.566	.566	.260	.520	X	.454	.454	.617	.617
74	mobilenet_v1_0.75_192 Brain-Score Team	.367	.229	.229	.339	.339	.549	.549	.267	.535	X	.449	.449	.672	.672
75	mobilenet_v2_0.35_192 Brain-Score Team	.366	.264	.264	.301	.301	.568	.568	.259	.518	X	.437	.437	.582	.582
76	BiT-S-R152x4 Violet Xiang	.364	.271	.271	.267	.267	.548	.548	.258	.515	X	.478	.478
77	mobilenet_v2_1.0_96 Brain-Score Team	.363	.256	.256	.332	.332	.530	.530	.257	.514	X	.443	.443	.603	.603
78	BiT-M-R101x1 Violet Xiang	.362	.255	.255	.295	.295	.574	.574	.250	.499	X	.433	.433
79	resnet18-supervised Chengxu Zhuang	.361	.276	.276	.281	.281	.539	.539	.263	.526	X	.446	.446
80	mobilenet_v1_0.5_160 Brain-Score Team	.361	.265	.265	.320	.320	.557	.557	.252	.503	X	.410	.410	.591	.591
81	mobilenet_v2_0.35_160 Brain-Score Team	.359	.269	.269	.292	.292	.554	.554	.259	.517	X	.424	.424	.557	.557
82	mobilenet_v1_0.75_160 Brain-Score Team	.359	.213	.213	.346	.346	.558	.558	.264	.529	X	.413	.413	.653	.653
83	mobilenet_v2_0.35_224 Brain-Score Team	.359	.215	.215	.296	.296	.554	.554	.253	.506	X	.474	.474	.603	.603
84	mobilenet_v2_0.5_128 Brain-Score Team	.358	.222	.222	.309	.309	.557	.557	.262	.525	X	.440	.440	.577	.577
85	nasnet_mobile Brain-Score Team	.357	.272	.272	.273	.273	.566	.566	.268	.536	X	.406	.406	.740	.740
86	BiT-S-R50x1 Violet Xiang	.353	.225	.225	.285	.285	.555	.555	.266	.533	X	.435	.435
87	mobilenet_v2_0.75_96 Brain-Score Team	.350	.208	.208	.305	.305	.527	.527	.258	.516	X	.451	.451	.588	.588
88	squeezenet1_0 Brain-Score Team	.341	.304	.304	.320	.320	.591	.591	.229	.459	X	.263	.263	.575	.575
89	mobilenet_v1_0.5_128 Brain-Score Team	.341	.245	.245	.304	.304	.550	.550	.234	.467	X	.373	.373	.563	.563
90	barlow-twins-resnet50 Eric Elmoznino	.341	.279	.279	.284	.284	.579	.579	.286	.572	X	.276	.276	.000	X
91	ViT-B/32 Violet Xiang	.341	.282	.282	.339	.339	.549	.549	.251	.502	X	.284	.284
92	squeezenet1_1 Brain-Score Team	.336	.265	.265	.311	.311	.582	.582	.229	.457	X	.291	.291	.575	.575
93	mobilenet_v2_0.35_128 Brain-Score Team	.333	.245	.245	.289	.289	.530	.530	.235	.470	X	.367	.367	.508	.508
94	mobilenet_v2_0.5_96 Brain-Score Team	.331	.266	.266	.278	.278	.501	.501	.239	.479	X	.370	.370	.512	.512
95	RN50 Violet Xiang	.330	.273	.273	.315	.315	.588	.588	.252	.504	X	.220	.220
96	ViT_L_32_imagenet1k Paul Mc Grath	.328	.265	.265	.291	.291	.531	.531	.227	.454	X	.324	.324
97	mobilenet_v1_0.25_224 Brain-Score Team	.327	.231	.231	.296	.296	.538	.538	.240	.480	X	.333	.333	.498	.498
98	deit_base_patch16_384_id Violet Xiang	.324	.209	.209	.248	.248	.515	.515	.225	.450	X	.425	.425
99	ViT_L_32 Paul Mc Grath	.324	.305	.305	.301	.301	.511	.511	.219	.439	X	.286	.286
100	mobilenet_v1_0.25_192 Brain-Score Team	.323	.208	.208	.318	.318	.517	.517	.226	.451	X	.344	.344	.477	.477
101	CORnet-Z Brain-Score Team	.322	.298	.298	.182	.182	.553	.553	.223	.447	X	.356	.356	.470	.470
102	resnet18-simclr Chengxu Zhuang	.321	.243	.243	.318	.318	.550	.550	.262	.524	X	.231	.231
103	ViT_B_32_imagenet1k Paul Mc Grath	.317	.271	.271	.285	.285	.536	.536	.219	.437	X	.276	.276
104	resnet18-local_aggregation Chengxu Zhuang	.314	.253	.253	.308	.308	.563	.563	.268	.536	X	.177	.177
105	ViT_B_32 Paul Mc Grath	.313	.308	.308	.275	.275	.504	.504	.208	.417	X	.270	.270
106	mobilenet_v1_0.25_160 Brain-Score Team	.312	.198	.198	.293	.293	.509	.509	.229	.457	X	.330	.330	.455	.455
107	ViT_L_16_imagenet1k Paul Mc Grath	.311	.215	.215	.269	.269	.494	.494	.244	.487	X	.333	.333
108	bagnet9 Martin Schrimpf	.307	.215	.215	.260	.260	.550	.550	.200	.401	X	.307	.307	.260	.260
109	deit_base_patch16_224_id Violet Xiang	.306	.206	.206	.279	.279	.489	.489	.179	.357	X	.376	.376
110	ViT_B_16_imagenet1k Paul Mc Grath	.304	.234	.234	.261	.261	.485	.485	.204	.408	X	.335	.335
111	mobilenet_v2_0.35_96 Brain-Score Team	.303	.183	.183	.249	.249	.501	.501	.230	.460	X	.351	.351	.455	.455
112	mobilenet_v1_0.25_128 Brain-Score Team	.302	.262	.262	.238	.238	.513	.513	.213	.425	X	.286	.286	.415	.415
113	ViT_B_16 Paul Mc Grath	.302	.242	.242	.260	.260	.498	.498	.190	.380	X	.320	.320
114	vggface Martin Schrimpf	.301	.358	.358	.339	.339	.555	.555	.176	.351	X	.078	.078
115	resnet18-contrastive_multiview Chengxu Zhuang	.293	.258	.258	.265	.265	.551	.551	.231	.461	X	.161	.161
116	resnet18-instance_recognition Chengxu Zhuang	.292	.267	.267	.294	.294	.548	.548	.261	.522	X	.090	.090
117	deit_base_distilled_patch16_224 Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
117	deit_base_distilled_patch16_224_id Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
117	deit_base_distilled_patch16_384 Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
117	deit_base_patch16_224 Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
117	deit_base_patch16_384 Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
117	deit_small_distilled_patch16_224 Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
117	deit_small_patch16_224 Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
117	deit_tiny_distilled_patch16_224 Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
117	deit_tiny_patch16_224 Violet Xiang	.288	.206	.206	.238	.238	.514	.514	.228	.455	X	.256	.256
126	deit_small_distilled_patch16_224_id Violet Xiang	.286	.173	.173	.242	.242	.511	.511	.221	.442	X	.283	.283
127	deit_base_distilled_patch16_384_id Violet Xiang	.285	.183	.183	.278	.278	.486	.486	.235	.471	X	.243	.243
128	deit_small_patch16_224_id Violet Xiang	.278	.193	.193	.255	.255	.514	.514	.202	.403	X	.226	.226
129	resnet18-colorization Chengxu Zhuang	.273	.269	.269	.265	.265	.568	.568	.205	.410	X	.060	.060
130	resnet18-deepcluster Chengxu Zhuang	.272	.258	.258	.306	.306	.545	.545	.253	.506	X	.000	X
131	deit_tiny_distilled_patch16_224_id Violet Xiang	.270	.184	.184	.247	.247	.504	.504	.207	.414	X	.209	.209
132	deit_tiny_patch16_224_id Violet Xiang	.265	.182	.182	.251	.251	.481	.481	.202	.404	X	.211	.211
133	resnet18-relative_position Chengxu Zhuang	.262	.278	.278	.302	.302	.544	.544	.194	.388	X	-0.006	-0.006
134	resnet18-depth_prediction Chengxu Zhuang	.260	.285	.285	.246	.246	.509	.509	.158	.315	X	.102	.102
135	dcgan Brain-Score Team	.242	.316	.316	.226	.226	.432	.432	.214	.214		.023	.023
136	resnet18-contrastive_predictive Chengxu Zhuang	.236	.247	.247	.263	.263	.497	.497	.163	.325	X	.010	.010
137	prednet Chengxu Zhuang	.222	.224	.224	.234	.234	.503	.503	.138	.275	X	.014	.014
138	resnet18-autoencoder Chengxu Zhuang	.218	.298	.298	.165	.165	.438	.438	.103	.207	X	.083